Comparative analysis of CRISPR cassettes from the human gut metagenomic contigs

Background

CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) is a prokaryotic adaptive defence system that provides resistance against alien replicons such as viruses and plasmids. Spacers in a CRISPR cassette confer immunity against viruses and plasmids containing regions complementary to the spacers and hence they retain a footprint of interactions between prokaryotes and their viruses in individual strains and ecosystems. The human gut is a rich habitat populated by numerous microorganisms, but a large fraction of these are unculturable and little is known about them in general and their CRISPR systems in particular.

Results

We used human gut metagenomic data from three open projects in order to characterize the composition and dynamics of CRISPR cassettes in the human-associated microbiota. Applying available CRISPR-identification algorithms and a previously designed filtering procedure to the assembled human gut metagenomic contigs, we found 388 CRISPR cassettes, 373 of which had repeats not observed previously in complete genomes or other datasets. Only 171 of 3,545 identified spacers were coupled with protospacers from the human gut metagenomic contigs. The number of matches to GenBank sequences was negligible, providing protospacers for 26 spacers.Reconstruction of CRISPR cassettes allowed us to track the dynamics of spacer content. In agreement with other published observations we show that spacers shared by different cassettes (and hence likely older ones) tend to the trailer ends, whereas spacers with matches in the metagenomes are distributed unevenly across cassettes, demonstrating a preference to form clusters closer to the active end of a CRISPR cassette, adjacent to the leader, and hence suggesting dynamical interactions between prokaryotes and viruses in the human gut. Remarkably, spacers match protospacers in the metagenome of the same individual with frequency comparable to a random control, but may match protospacers from metagenomes of other individuals.

Conclusions

The analysis of assembled contigs is complementary to the approach based on the analysis of original reads and hence provides additional data about composition and evolution of CRISPR cassettes, revealing the dynamics of CRISPR-phage interactions in metagenomes.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2164-15-202) contains supplementary material, which is available to authorized users.     

Metabolic reconstruction for metagenomic data and its application to the human microbiome

Microbial communities carry out the majority of the biochemical activity on the planet, and they play integral roles in processes including metabolism and immune homeostasis in the human microbiome. Shotgun sequencing of such communities' metagenomes provides information complementary to organismal abundances from taxonomic markers, but the resulting data typically comprise short reads from hundreds of different organisms and are at best challenging to assemble comparably to single-organism genomes. Here, we describe an alternative approach to infer the functional and metabolic potential of a microbial community metagenome. We determined the gene families and pathways present or absent within a community, as well as their relative abundances, directly from short sequence reads. We validated this methodology using a collection of synthetic metagenomes, recovering the presence and abundance both of large pathways and of small functional modules with high accuracy. We subsequently applied this method, HUMAnN, to the microbial communities of 649 metagenomes drawn from seven primary body sites on 102 individuals as part of the Human Microbiome Project (HMP). This provided a means to compare functional diversity and organismal ecology in the human microbiome, and we determined a core of 24 ubiquitously present modules. Core pathways were often implemented by different enzyme families within different body sites, and 168 functional modules and 196 metabolic pathways varied in metagenomic abundance specifically to one or more niches within the microbiome. These included glycosaminoglycan degradation in the gut, as well as phosphate and amino acid transport linked to host phenotype (vaginal pH) in the posterior fornix. An implementation of our methodology is available at http://huttenhower.sph.harvard.edu/humann. This provides a means to accurately and efficiently characterize microbial metabolic pathways and functional modules directly from high-throughput sequencing reads, enabling the determination of community roles in the HMP cohort and in future metagenomic studies.     

Progress of analytical tools and techniques for human gut microbiome research

Massive DNA sequencing studies have expanded our insights and understanding of the ecological and functional characteristics of the gut microbiome. Advanced sequencing technologies allow us to understand the close association of the gut microbiome with human health and critical illnesses. In the future, analyses of the gut microbiome will provide key information associating with human individual health, which will help provide personalized health care for diseases. Numerous molecular biological analysis tools have been rapidly developed and employed for the gut microbiome researches; however, methodological differences among researchers lead to inconsistent data, limiting extensive share of data. It is therefore very essential to standardize the current methodologies and establish appropriate pipelines for human gut microbiome research. Herein, we review the methods and procedures currently available for studying the human gut microbiome, including fecal sample collection, metagenomic DNA extraction, massive DNA sequencing, and data analyses with bioinformatics. We believe that this review will contribute to the progress of gut microbiome research in the clinical and practical aspects of human health.     

人类肠道微生物组与相关疾病研究进展

人体肠道共生着数以万亿计的微生物,肠道微生物在维持宿主正常生理功能中发挥重要作用,其成分和功能变化可导致严重的肠道和全身性疾病。以新一代测序技术和生物信息学分析为基础的元基因组学研究不仅极大地推动了对人类肠道微生物的整体认识,还加深了对肠道微生物代谢产物促进人类健康机理的理解,为肠道炎症、代谢性疾病和癌症等人类疾病的诊断与治疗提供了新思路。就肠道微生物元基因组学与肠道相关疾病的研究进展作一综述。     

The long-term genetic stability and individual specificity of the human gut microbiome

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Virtual histology of transgenic mouse embryos for high-throughput phenotyping

A bold new effort to disrupt every gene in the mouse genome necessitates systematic, interdisciplinary approaches to analyzing patterning defects in the mouse embryo. We present a novel, rapid, and inexpensive method for obtaining high-resolution virtual histology for phenotypic assessment of mouse embryos. Using osmium tetroxide to differentially stain tissues followed by volumetric X-ray computed tomography to image whole embryos, isometric resolutions of 27 μm or 8 μm were achieved with scan times of 2 h or 12 h, respectively, using mid-gestation E9.5–E12.5 embryos. The datasets generated by this method are immediately amenable to state-of-the-art computational methods of organ patterning analysis. This technique to assess embryo anatomy represents a significant improvement in resolution, time, and expense for the quantitative, three-dimensional analysis of developmental patterning defects attributed to genetically engineered mutations and chemically induced embryotoxicity.     

Prospects for systems biology and modeling of the gut microbiome

Abundant microorganisms that inhabit the human intestine are implicated in health and disease. The gut microbiome has been studied with metagenomic tools, and over 3 million genes have been discovered, constituting a 'parts list' of this ecosystem; further understanding requires studies of the interacting parts. Mouse models have provided a glimpse into the microbiota and host interactions at metabolic and immunologic levels; however, to provide more insight, there is a need to generate mathematical models that can reveal genotype-phenotype relationships and provide scaffolds for integrated analyses. To this end, we propose the use of genome-scale metabolic models that have successfully been used in studying interactions between human hosts and microbes, as well as microbes in isolation and in communities.     

A metagenomic approach to characterization of the vaginal microbiome signature in pregnancy

While current major national research efforts (i.e., the NIH Human Microbiome Project) will enable comprehensive metagenomic characterization of the adult human microbiota, how and when these diverse microbial communities take up residence in the host and during reproductive life are unexplored at a population level. Because microbial abundance and diversity might differ in pregnancy, we sought to generate comparative metagenomic signatures across gestational age strata. DNA was isolated from the vagina (introitus, posterior fornix, midvagina) and the V5V3 region of bacterial 16S rRNA genes were sequenced (454FLX Titanium platform). Sixty-eight samples from 24 healthy gravidae (18 to 40 confirmed weeks) were compared with 301 non-pregnant controls (60 subjects). Generated sequence data were quality filtered, taxonomically binned, normalized, and organized by phylogeny and into operational taxonomic units (OTU); principal coordinates analysis (PCoA) of the resultant beta diversity measures were used for visualization and analysis in association with sample clinical metadata. Altogether, 1.4 gigabytes of data containing >2.5 million reads (averaging 6,837 sequences/sample of 493 nt in length) were generated for computational analyses. Although gravidae were not excluded by virtue of a posterior fornix pH >4.5 at the time of screening, unique vaginal microbiome signature encompassing several specific OTUs and higher-level clades was nevertheless observed and confirmed using a combination of phylogenetic, non-phylogenetic, supervised, and unsupervised approaches. Both overall diversity and richness were reduced in pregnancy, with dominance of Lactobacillus species (L. iners crispatus, jensenii and johnsonii, and the orders Lactobacillales (and Lactobacillaceae family), Clostridiales, Bacteroidales, and Actinomycetales. This intergroup comparison using rigorous standardized sampling protocols and analytical methodologies provides robust initial evidence that the vaginal microbial 16S rRNA gene catalogue uniquely differs in pregnancy, with variance of taxa across vaginal subsite and gestational age.     

Signal mimics derived from a metagenomic analysis of the gypsy moth gut microbiota

Bacterial signaling is an important part of community life, but little is known about the signal transduction pathways of the as-yet-uncultured members of microbial communities. To address this gap, we aimed to identify genes directing the synthesis of signals in uncultured bacteria associated with the midguts of gypsy moth larvae. We constructed a metagenomic library consisting of DNA extracted directly from the midgut microbiota and analyzed it using an intracellular screen designated METREX, which detects inducers of quorum sensing. In this screen, the metagenomic DNA and a biosensor reside in the same cell. The biosensor consists of a quorum-sensing promoter, which requires an acylhomoserine lactone or other small molecule ligand for activation, driving the expression of the reporter gene gfp. We identified an active metagenomic clone encoding a monooxygenase homologue that mediates a pathway of indole oxidation that leads to the production of a quorum-sensing inducing compound. The signal from this clone induces the activities of LuxR from Vibrio fischeri and CviR from Chromobacterium violaceum. This study is the first to identify a new structural class of quorum-sensing inducer from uncultured bacteria.     

A new strategy for high-throughput identification of human gut microbiota containing specific monosaccharide

<正>Dear Editor,The human gastrointestinal tract is colonized by trillions of microorganisms, the majority of which cannot be cultured(Wu et al., 2018). Numerous glycans are expressed on the surface of gut microbiota that are characteristic of different strains, and the diversity of these glycans is partially attributed to variations in their monosaccharides. More than 100distinct monosaccharides have been identified within the     

The effect of growth hormone on the proliferation of human Th cell clones

The effects of human growth hormone (hGH) on human Th cell clones were examined. Both 20K and 22K hGH stimulated the proliferation of Th2 and Th0 cells in the presence of mite antigen, whereas they did not stimulate the proliferation of Thl cells. Because the effect of 20K hGH was almost the same as that of 22KhGH, it was suggested that the action of hGH was not mediated through prolactin receptor but through hGH receptors. The application of growth hormone binding protein (GHBP) inhibited the cell growth of Th1 clones. In Th2 and Th0 cells GHBP inhibited the hGH-stimulated cell proliferation. However, GHBP alone did not affect the proliferation of Th2 and Th0 cells. hGH was detected in the supernatant of Th1 clones in the presence of mite antigen but it was not detected in Th2 clones. hGH was detected in one out of 4 batches of Th0 clones. These data indicated that hGH was secreted from Thl clones, and that Th0 clones possessed characteristics of both Th2 and Th0 clones.     

Role of dietary fiber in the recovery of the human gut microbiome and its metabolome

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Functional cloning and characterization of antibiotic resistance genes from the chicken gut microbiome

Culture-independent sampling in conjunction with a functional cloning approach identified diverse antibiotic resistance genes for different classes of antibiotics in gut microbiomes from both conventionally raised and free-range chickens. Many of the genes are phylogenetically distant from known resistance genes. Two unique genes that conferred ampicillin and spectinomycin resistance were also functional in Campylobacter, a distant relative of the Escherichia coli host used to generate the genomic libraries.     

Methods of high-throughput plant phenotyping for large-scale breeding and genetic experiments

Phenomics is a field of science at the junction of biology and informatics which solves the problems of rapid, accurate estimation of the plant phenotype; it was rapidly developed because of the need to analyze phenotypic characteristics in large scale genetic and breeding experiments in plants. It is based on using the methods of computer image analysis and integration of biological data. Owing to automation, new approaches make it possible to considerably accelerate the process of estimating the characteristics of a phenotype, to increase its accuracy, and to remove a subjectivism (inherent to humans). The main technologies of high-throughput plant phenotyping in both controlled and field conditions, their advantages and disadvantages, and also the prospects of their use for the efficient solution of problems of plant genetics and breeding are presented in the review.